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Author

Yuhan Tang

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Open access Sep 2026

ADEM: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow and Efficient Merging

This work proposes the segmented fiber tree (SFT) data structure, which extends the conventional fiber tree through further partitioning to better support the dataflow paradigm while enhancing data reuse, and decouples the multiplication and merging phases.

Sheng-Bai Luo, Sheng Ma, Bo Wang et al. · 0 citations
Open access Aug 2026

SAI: Virtualizing Shared Memory of GPU for AI workload acceleration

This work proposes SAI, a mechanism that virtualizes shared memory into the L2 cache to improve GPU performance for AI applications and introduces an L2 cache management strategy that integrates associativity-based virtual page allocation and a replacement information table, reducing page-swapping overhead while preser...

Hanqing Li, Tie-Jun Li, Sheng Ma et al. · 0 citations

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